Table of contents
Adaptive task scheduling in IoT using reinforcement learning
Mohammad Khalid Pandit, Roohie Naaz Mir, Mohammad Ahsan ChishtiThe intelligence in the Internet of Things (IoT) can be embedded by analyzing the huge volumes of data generated by it in an ultralow latency environment. The computational…
Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network
Ambaji S. Jadhav, Pushpa B. Patil, Sunil BiradarDiabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming…
Mobile sensors' patrol path planning in unobservable border region
Wichai Pawgasame, Komwut WipusitwarakunThe border control becomes challenging when a protected region is large and there is a limited number of border patrols. This research paper proposes a novel heuristic-based…
Exploring compression and parallelization techniques for distribution of deep neural networks over Edge–Fog continuum – a review
Azra Nazir, Roohie Naaz Mir, Shaima QureshiThe trend of “Deep Learning for Internet of Things (IoT)” has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud…
Nature-inspired hybrid deep learning for race detection by face shape features
Asha Sukumaran, Thomas BrindhaThe humans are gifted with the potential of recognizing others by their uniqueness, in addition with more other demographic characteristics such as ethnicity (or race), gender and…
ISSN:
1756-378XOnline date, start – end:
2008Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditors:
- Prof Adil Baykasoglu
- Prof. Dr. Gandolfo Dominici